TUA-Bench provides 120 manually designed terminal tasks across five families with execution-based scoring; the top agent reaches 65.8% success.
arXiv preprint arXiv:2510.25694 , year=
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TraceProbe normalizes coding agent trajectories into canonical actions and applies rule-based detectors to localize failure patterns and behavioral divergences that resolve rate hides.
AblateCell reproduces baselines in three single-cell perturbation repositories with 88.9% success and recovers ground-truth critical components with 93.3% accuracy via closed-loop ablation.
citing papers explorer
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TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
TUA-Bench provides 120 manually designed terminal tasks across five families with execution-based scoring; the top agent reaches 65.8% success.
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What Resolve Rate Hides: Trajectory Structure Diagnostics for Coding Agents
TraceProbe normalizes coding agent trajectories into canonical actions and applies rule-based detectors to localize failure patterns and behavioral divergences that resolve rate hides.
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AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories
AblateCell reproduces baselines in three single-cell perturbation repositories with 88.9% success and recovers ground-truth critical components with 93.3% accuracy via closed-loop ablation.